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girenit-KVKK-PII-150M
girenit/girenit-KVKK-PII-150M
girenit-KVKK-PII-150M is a token classification model from girenit. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
Research-preview Turkish PII recogniser for the girenit KVKK PrivacyOps project. It is trained for these synthetic span categories: ADDRESS, BIOMETRICDATA, CRIMINALCONVICTIONSECURITY, CREDITCARD, DATEOFBIRTH, DEVICEID…
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026
- SHA
- 8e4b9219
Base models
Datasets
Model card
From the Hugging Face model README
girenit-KVKK-PII-150M v2
Research-preview Turkish PII recogniser for the girenit KVKK PrivacyOps project. It is trained for these synthetic span categories: ADDRESS, BIOMETRIC_DATA, CRIMINAL_CONVICTION_SECURITY, CREDIT_CARD, DATE_OF_BIRTH, DEVICE_ID, EMAIL, FINANCIAL_DATA, GENETIC_DATA, HEALTH_DATA, IBAN_TR, IPV4, PASSPORT_TR, PERSON, PHONE_TR, POLITICAL_OPINION, RELIGION, SEXUAL_LIFE, TCKN, UNION_MEMBERSHIP, VEHICLE_PLATE_TR. The public training set is deterministic and entirely synthetic; it contains no customer records. Use the deterministic rules layer for checksummed identifiers and evaluate every category on an institution-specific, lawyer-reviewed corpus before production deployment.
Validation F1 on the synthetic split: 1.0000. This score must not be interpreted as real-world compliance performance.
The model cannot determine legal compliance or choose a legal basis. Human review is mandatory. See the dataset card and girenit PrivacyOps documentation.
- Task
- Token Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Languages
- tr
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026